In today's world, JanusGraph plays a vital role in our lives. Whether on a personal, professional or social level, JanusGraph has a significant impact on the way we think, act and relate to others. In this article, we will explore the importance of JanusGraph and how it has evolved over time. Furthermore, we will analyze its influence in different contexts and its relevance in today's society. JanusGraph is a fascinating topic that deserves to be examined in depth to better understand its scope and impact on our daily lives.
JanusGraph supports various storage backends (Apache Cassandra, Apache HBase, Google Cloud Bigtable, Oracle BerkeleyDB, ScyllaDB).[5][6] The Scalability of JanusGraph depends on the underlying technologies, which are used with JanusGraph. For example, by using Apache Cassandra as a storage backend scaling to multiple datacenters is provided out of the box.
For contributions an individual or an organisation must sign a CLA paper.[30]
Literature
Kelvin R. Lawrence. PRACTICAL GREMLIN An Apache TinkerPop Tutorial. Version 282-preview. - February 2019, pp. 324 – 363.
Publications
Gabriel Campero Durand, Jingy Ma, Marcus Pinnecke, Gunter Saake: Piecing together large puzzles, efficiently: Towards scalable loading into graph database systems, May 2018
Hima Karanam, Sumit Neelam, Udit Sharma, Sumit Bhatia, Srikanta Bedathur, L. Venkata Subramaniam, Maria Chang, Achille Fokoue-Nkoutche, Spyros Kotoulas, Bassem Makni, Mariano Rodriguez Muro, Ryan Musa, Michael Witbrock: Scalable Reasoning Infrastructure for Large Scale Knowledge Bases, October 2018
Gabriel Campero Durand, Anusha Janardhana, Marcus Pinnecke, Yusra Shakeel, Jacob Krüger, Thomas Leich, Gunter Saake: Exploring Large Scholarly Networks with Hermes
Gabriel Tanase, Toyotaro Suzumura, Jinho Lee, Chun-Fu (Richard) Chen, Jason Crawford, Hiroki Kanezashi: System G Distributed Graph Database
Bogdan Iancu, Tiberiu Marian Georgescu: Saving Large Semantic Data in Cloud: A Survey of the Main DBaaS Solutions
Jingyi Ma. An Evaluation of the Design Space for Scalable Data Loading into Graph Databases - February 2018, pp. 39–47.